We are a boutique consulting firm located centrally, experiencing strong growth. We are currently looking for Recruitment Consultant to support us through the next phase of the growth and development roadmap.

• Training + Guidance by dedicated Leader
• Career Growth
• Basic + Attractive Incentives

Job Scope as a Recruitment Consultant:

• An integral role as a recruiter in fulfilling clients’ staffing needs.
• Handle the 360-degree recruitment and talent acquisition process.
• Conduct interviews and phone screenings to select potential candidates that meet clients' requirements.
• Actively develop connections, pursue new business opportunities, and manage relationships with existing accounts.

Requirements:

• Diploma / Degree in any discipline
• High commitment level, sales driven and team player
• Good interpersonal and communication skills

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only the shortlisted candidates will be notified.

Email Address: [email protected]

Recruitpedia Pte Ltd

EA License No: 19C9682

EA Personnel No: R2198636 (Oh Puey Xin)

We are looking for someone to do data entry and admin work.

Location: Boon Lay

Monday - Friday 8.30am to 6.00pm

Job Description

Look through documents and invoices

Type and enter specific information and details into system

Sort and file documents in an organized manner

Requirements

Minimum GCE N' Level

Proficient in MS Word and Excel

Be meticulous and hardworking

Able to work as a team and communicate well with others

For enquiries, you can contact Mr Theva (hr) at 6220 1288 at , 9:00am-6:00pm (Mon to Fri).

We regret only shortlisted candidates will be notified.

For more jobs, please see https://www.mlpc.com.sg/job-seeker/

ML Consulting Pte Ltd EA License No: 91C2939

Duties & Responsibilities:

• Transfer data from hard copy to a digital database.
• Verify outdated data and make any necessary changes to records.
• Input text-based and numerical information from source documents.
• Sort and organize hard copies of paperwork after entering data electronically.
• Review data for deficiencies or errors.
• Provide data entry support across departments on an ad-hoc basis.
• Type in data quickly and efficiently.

Requirements:

• Minimum “N” Levels or equivalent.
• Mature, responsible and able to work with minimal supervision.
• Able to start work immediately or within short notice.

Additional Information:

• Working Location: Alps Ave.
• Working Hours: 5.5 working days, Day shift.
• Company Transport: Pick-up points - Bedok, Pasir Ris, Tampines, Punggol, Sengkang.

How to Apply:

Interested applicants may click 'Apply' or contact the Recruitment Team via WhatsApp at +65 97815157 (Lijun).

SSG is a dynamic and forward-thinking organization dedicated to empowering individuals and shaping the future of Singapore's workforce. As a statutory board under the Ministry of Education, SSG leads the charge in driving the SkillsFuture movement, a national initiative that promotes lifelong learning and skills development. With a strong focus on innovation and collaboration, SSG works closely with employers, training providers, and individuals to create a vibrant ecosystem of learning and growth. By offering a wide range of initiatives, programs, and funding schemes, SSG enables individuals to unlock their full potential, acquire new competencies, and stay ahead in a rapidly changing job market.

Join the Data Strategy & Analytics Division (DSAD) team to grow SSG into a data-mature organization where we use data pervasively and securely to deliver on our business missions:

• Develop and drive SSG’s data strategy, including LOIs, data competency, and maintaining strong links with CIO Office
• Develop, implement and maintain comprehensive data governance and management framework that complies with WOG requirements Implement Lines of Inquiries
• Support data management and exploitation
• Develop MLOps and instil best practices

What you will be working on

The Data Scientist in the Data Strategy and Analytics Division reports to the Principal Manager and plays a pivotal role in deriving business insights from large and real-time datasets for fraud and risk management, strategic planning as well as operational efficiency. This position will develop, deploy and maintain data analytic models as well as have opportunities to also collaborate with other public agencies to introduce and enhance data science capabilities (such as Jobs and Skills) for the organisation. As the domain expert in data analytics the Data Scientist is also expected to coordinate, strategize and guide the SSG officers performing data analytics work to achieve efficiency and accuracy.

• Data Analysis & Model Development
• Research and develop statistical and machine learning models for comprehensive data analysis
• Utilize algorithms and models to mine big data, perform data and error analysis, and ensure data uniformity and accuracy
• Apply data mining techniques and perform statistical analysis to generate insights at scale
• Collaboration & Solution Development
• Work closely with both internal and external stakeholders to understand analytic needs and develop effective solutions
• Create machine learning-based tools or processes, such as recommendation engines, and monitor their performance through A/B testing and predictive capabilities
• Communicate analytic solutions to stakeholders and implement necessary improvements to operational systems
• Innovation & Capability Building
• Identify relevant structured and unstructured data sources for mining meaningful insights
• Build prototype analysis pipelines iteratively to provide scalable insights
• Contribute to building data analytics capabilities across the organization, emphasizing the strategic value of data in achieving business objectives

What we are looking for

• Tertiary qualification in a quantitative discipline such as Computer Science, Economics, Statistics, or Applied Mathematics.
• 3-8 years of experience in computer science, applied mathematics, or other quantitative/computational disciplines.
• Proven experience in data visualization tools (e.g., Tableau) and data analysis/processing tools (e.g., R, Python).
• Experience with Cloud Technology (e.g., AWS data and analytics Tech Stack) and distributed computing tools (e.g., Hadoop/Spark).
• Demonstrated ability in building machine learning models at scale, using real-time data pipelines on platforms.
• Strong analytical skills with the ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
• Proficiency in data engineering, including SQL and manipulating structured and unstructured data sources for analysis.
• Advanced skills in pattern recognition and predictive modeling.
• Experience or specialization in fraud prevention/detection, compliance, forensics, or Jobs and Skills related analysis will be considered advantageous.
• Excellent communication and presentation skills, with a strong emphasis on collaboration and innovation.

Roles and Responsibilities:

• Lead the complete lifecycle of data exchange projects, ensuring thorough planning, execution, and ongoing maintenance
• Define project parameters, goals, and expected results in partnership with stakeholders
• Develop and oversee detailed project schedules, budget estimates, and progress benchmarks
• Ensure efficient allocation and coordination of project resources, tasks, and activities to meet deadlines
• Proactively address and strategize against potential risks and obstacles to keep project momentum
• Apply expertise in data exchange technologies such as web services, RESTful APIs, XML, JSON to enhance process efficiencies
• Implement strategies for data mapping, transformation, and validation to ensure the integrity and accuracy of data
• Serve as the main contact for project stakeholders, offering updates and solutions to maintain project alignment and satisfaction
• Facilitate clear and effective communication, organizing stakeholder meetings and workshops to align project goals and requirements
• Leverage sector-specific knowledge, especially in manufacturing, to adapt data exchange solutions that align with business needs and goals
• Fulfill all other duties as assigned by management

Requirements:

• Bachelor’s degree or higher in IT, Computer Science, Engineering, or a related field
• Minimum 3 years of IT project management experience, emphasizing data exchange and integration, with a preference for manufacturing sector experience
• Proficiency in web services, RESTful APIs, XML, JSON, and related data formats
• Experience with integration platforms, middleware, and ETL tools
• Strong communication, collaboration, and stakeholder management abilities

Interested applicants, please Email , and look for

Jensen Fang Lifa

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R2197080

We regret that only shortlisted candidates will be contacted.

Company Introduction

ByteBridge is a widely trusted innovator of IT services, including data center, enterprise IT, and unified communications. ByteBridge was founded by a team of passionate dedicated experts with a vision to achieve customer success through technology enablement. We bridge the technical gaps to help enterprises' vision come true and expand their business on a global scale. To date, ByteBridge has been trusted by some of the world's leading

Key Responsibilities

• Lead and manage Data Center infrastructure projects, ensuring alignment with client goals and business needs.
• Oversee all project activities, including resource allocation, procurement, and scheduling, to ensure timely and efficient execution.
• Supervise project teams, ensuring collaboration across various departments and external vendors to meet project objectives.
• Serve as the primary point of contact for clients, providing regular updates on project progress, risks, and resolutions.
• Manage scope changes, ensuring alignment with client requirements, project timelines, and budgets.
• Proactively identify project risks and develop mitigation strategies to minimize impacts on timelines and budgets.
• Manage project budgets and schedules, ensuring resources are allocated appropriately and projects stay on track.
• Work closely with the Procurement team to manage vendor relationships and ensure timely delivery of resources.
• Maintain accurate project documentation and prepare regular reports and presentations for stakeholders.

Required Skills and Experience

• Strong background in managing Data Center projects, including infrastructure setup (rack and stack, power/cooling, network setup).
• Familiarity with Data Center technologies such as server hardware, storage systems, network devices, and virtualization platforms.
• In-depth understanding of project phases from initiation to handover, with a focus on execution and delivery.
• Proven leadership skills with the ability to coordinate teams, resolve conflicts, and communicate effectively with clients and stakeholders.
• Experience in managing risks and scope changes to maintain project alignment with client needs and timelines.
• Skilled in managing project budgets, schedules, and resources.

Your Role

As a Lead Data Engineer, you will spearhead the development and optimization of our data infrastructure to enable advanced analytics capabilities. Collaborating with cross-functional teams, you will ensure seamless integration and delivery of robust, scalable, and efficient data solutions. In this leadership role, you will mentor and guide a team of engineers while contributing to the strategic direction of the organization’s data landscape.

Key Responsibilities

• Data Engineering & Development:Design and implement large-scale data processing pipelines using Spark Scala, handling structured and unstructured data.
  Integrate Elasticsearch with Spark for efficient indexing, querying, and data retrieval.
  Optimize Spark applications for performance and scalability, ensuring minimal latency and high throughput.
  
• Containerization & Orchestration:Deploy data solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques.
  Optimize workflows for containerized environments and ensure efficient resource utilization.
  
• DevOps Integration:Collaborate with DevOps teams to streamline deployment using CI/CD pipelines and tools such as Jenkins, Bitbucket, and Ansible.
  Implement robust monitoring and logging frameworks using tools like Grafana, Prometheus, and Splunk to maintain platform stability.
  
• Collaboration & Stakeholder Management:Work with data scientists, analysts, and infrastructure engineers to understand requirements and translate them into technical solutions.
  Communicate technical designs and processes effectively to both technical and non-technical stakeholders.
  
• Leadership & Mentorship:Lead and mentor a team of data engineers, fostering a culture of continuous learning and innovation.
  Advocate for best practices in data engineering, DevOps, and cloud technologies.
  
• Documentation & Research:Document workflows, pipelines, and configurations to ensure team knowledge sharing.
  Stay abreast of emerging technologies and best practices in data engineering and cloud infrastructure.
  

Requirements

• Education:Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field.
  
• Experience:Minimum of 10 years in data engineering roles with expertise in Hadoop, Spark, and related tools (e.g., HDFS, Hive, Ranger).
  Hands-on experience with OpenShift Container Platform (OCP) and container orchestration tools like Kubernetes.
  Proven track record of building and scaling data infrastructure in large, complex environments.
  
• Technical Skills:Proficiency in programming languages such as Scala, Python, or Java.
  Deep understanding of DevOps practices, including CI/CD pipelines and automation tools like Docker, Jenkins, and Ansible.
  Familiarity with monitoring and logging tools such as Grafana, Prometheus, and Splunk.
  Exposure to cloud platforms (AWS, Azure, GCP) and their data services is a plus.
  
• Soft Skills: Exceptional problem-solving abilities and a proactive approach to resolving technical challenges.
  Strong communication and collaboration skills to work effectively across diverse teams.
  Ability to balance multiple priorities and deliver high-quality results in a dynamic environment.
  

Preferred Qualifications

• Experience in cloud-native data services (e.g., AWS Redshift, Azure Data Factory, GCP BigQuery).
• Knowledge of advanced analytics and machine learning pipelines.

Job Description:

-Design and implement scalable data pipelines to collect, process, and store large volumes of structured and unstructured data.

-Ensure data quality, integrity, and consistency across various data sources.

-Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.

-Integrate data from multiple sources, including databases, APIs, and third-party data providers.

-Build and maintain big data infrastructure using technologies

-Optimize data storage and retrieval processes to improve performance and reduce costs.

Requirements:
-Bachelor's or Master's degree in computer science, software engineering, or a related field.
-Proven experience as a Big Data Engineer or similar role.
-Experience with big data technologies such as Hadoop, Spark, Kafka, Hive, HBase, etc

-Proficiency in programming languages such as Python, Java, or Scala.
-Strong knowledge of SQL and NoSQL databases.
-Knowledge of machine learning and data analytics.

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

Job Description:

• Develop data collection platforms (using Microsoft Power Apps) and/or data products (Microsoft PowerPoint reports, interactive Tableau dashboards).
• Support the integration of data sources into a central data repository system, including extract, transform, load (ETL) processes.
• Provide data extraction support to internal stakeholders.

Requirements:

• Degree in business, computer science, information systems or engineering.
• Knowledge of information systems, databases and/or data collection platforms is required.
• Experience with handling data (merging data and data transformation), using visualisation tools such as Tableau, and proficiency in programming language such as Python, SQL are preferred.

Experience with using Microsoft Power Apps is advantageous.

Work Arrangment:

• Contract Period: 12 months
• Location: Upper Pickering Street

EA License No.: 96C4864

Reg. No.: R22110485 SHANICE LIM XIN NI

COMPANY DESCRIPTION

Beyondsoft International (Singapore) Pte. Ltd. was set up in 2007 and established as the regional headquarters for the Southeast Asia (SEA) and European markets in September 2015. Based on our vision of "Using technology to promote social progress, economic development and become a global customer preferred partner" and our concept of "Beyond your expectations", Beyondsoft is committed to provide our customers in countries along the "Belt and Road" with comprehensive solutions and products and creating commercial value for customers to realizing continuous businesses development.

Our core business includes:

1. IT development services providing customers with IT consulting, software research and development, software and hardware testing, system integration and operation and maintenance, data analysis and other services;
2. New retail solutions and products through intelligent products, helping small and medium-sized enterprises (SMEs) realize the digital transformation of their daily operations;
3. Internet of Things (IoT) platform and solutions comprehensive use of IoT, artificial intelligence, big data, cloud computing and other technologies to provide IoT solutions for intelligent upgrades in cities, parks, buildings and industries, to create a smart future.

For more information, please visit www.beyondsoft.com.

RESPONSIBILITIES

• Work closely with data product team and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Work closely with product vendors to design, deploy and integrate different data platforms with the organization's ecosystem.
• Ensure that the deployed platforms follow the IT security and compliance policies.
• Establish processes and develop monitoring mechanisms to detect the availability of the platforms.
• Act as the solution architect and develop the end-to-end onboarding of projects onto the data platforms deployed in the organization for different BI needs such as data ingestion, visualization, data governance.
• Perform testing on the deployed data platforms

• Bachelor's Degree in Computer Science or equivalent.
• At least 5 years' experience of working as a platform support engineer or a software engineer or a data engineer.
• Solid working knowledge of implementing the optimal data structures and algorithms to create efficient and scalable applications in Java or Python.
• Strong hands-on experience and working knowledge of application implementation to implement new platforms.
• Familiar with application integration using RDBMS.
• Hands-on experience of using Linux (or Unix-like OS) as the development environment, and familiar with Shell scripts and command line tools.
• Knowledge of data integration and data visualization platforms such as Informatica, Tableau, and Power BI.
• Exposure and knowledge in the following technologies will be advantageous:
  • Java, Python
  • Snowflake, Oracle, MS SQL, Denodo
  • AWS services
• Experience in the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.
• Good understanding and able to apply good industry practice of code versioning, testing, CICD workflow, and code documentation.
• Good team player, with strong analytical skill and enjoy complex problem solving with innovative ideas.
• Good communication/people skills and able to interact with data analysts, business end-users and vendors to design and develop solutions.
• Good at working with details and is meticulous for operations.

Big Data Engineer

Job Requirement:

• 5 years of hands on work experience in Hadoop, Scala, Pyspark and Python.
• Work with Hadoop Distributed File System (HDFS) to manage and store large datasets
• Utilize tools like Hive, HBase, and Pig to process data in Hadoop
• Set up and manage data pipelines to extract, transform, and load (ETL) large datasets
• Develop and optimize PySpark jobs and Scala-based Spark applications to process and analyze large-scale data
• Integrate data from various sources (relational databases, flat files, APIs, etc.) using Python and Spark.
• Build data models and perform advanced analytics using PySpark, Python libraries and Scala.

Thanks, and Best Regards

Karanam Vijaya Kiran

(EA Registration no: R1443178)

Recruitment Manager

Hand Phone: +65 92333815

Helius Technologies Pte Ltd (EA Licence No: 11C3373)

Job Title: Data Center Operator
Shift Allowance: $10 (Day Shift), $20 (Night Shift)

Key Responsibilities:

1. Security Clearance and Access Management:Process vendor and visitor security clearances for data center (DC) access.
   Escort vendors and visitors within the DC premises.
   
2. Alert and Incident Management:Monitor and respond to alert notifications, particularly after office hours.
   Raise incidents in the IT Service Management (ITSM) system and track them until closure.
   
3. Maintenance Support:Assist in monthly, quarterly, and yearly maintenance activities, including building management tasks such as power shutdowns, air conditioning, and UPS maintenance.
   
4. Hardware Management:Coordinate and support hardware disposal, including hard disks, media, and backup tapes.
   Load and unload backup tapes and prepare them for off-site transfer.
   Maintain and update hardware inventory and rack systems.
   
5. Monitoring and Reporting:Conduct daily checks to ensure data center temperature remains within acceptable levels.
   Identify and report unusual device behavior, such as abnormal blinking lights or sounds.
   Prepare and submit daily and monthly reports for customers.
   

Requirements:

• Strong attention to detail and ability to work effectively in a shift environment.
• Basic understanding of data center operations and IT infrastructure.
• Excellent communication and coordination skills for working with vendors and internal teams.

Responsibilities

• Training and deploying machine learning models end to end
• Good understanding of basic statistics and deep learning techniques
• Any experience in data integration, profiling,validation, and cleansing
• Experience deploying TensorFlow and PyTorch into production.
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Good programming skills in Python
• Must possess experience or interest in training and deploying machine learning models end to end.
• Good understanding of basic statistics and deep learning techniques
• Prior experience in data integration, profiling, validation and cleansing
• Experience in Banking domain is mandatory
• Proficiency with SQL
• Software delivery
• Strong understanding of agile methodologies
• Strong understanding of CI/CD
• Strong understanding of test-driven development
• Comfortable using version control and enterprise task management tools.
  • Data Engineering
  • Experience in deploying TensorFlow and PyTorch into production
• Building data pipelines and architecture
• Should have extensive experience with relational and NO-SQL databases
• Should have proficiency in handling both structured and unstructured data sources
• Strong experience deploying applications to cloud platforms like Azure, AWS
• Interest in building efficient batch and streaming data engineering pipelines
• Exposure to distributed data processing platforms like Spark

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

About Smartkarma

Smartkarma is a global investment network based in Singapore, that brings together independent Insight Providers, institutional investors, and corporate investor relations professionals and management. Smartkarma reinvents Equity and Credit Research by providing differentiated, independent analysis on companies, markets, and industries across the world. This includes areas under-reported by mainstream market coverage, including Event-Driven, IPOs & placements, and small/mid-cap equities.

Smartkarma’s online platform enables corporate and buy-side clients to streamline their communication and data reporting, and allows them to set their own real-time alerts, customise their reading lists, directly contact Insight Providers, and remain MiFID II-compliant as unbundling regulations change the investment research industry.

Smartkarma Insight Providers have been featured in Reuters, Bloomberg, Nikkei, the Financial Times, and a number of influential business publications.

About the Programme

The Smartkarma Apprenticeship Programme provides diploma graduates with an opportunity to develop hands-on skills in data analysis, financial research, and operational support. This program is designed to nurture analytical talent and build a strong foundation in data management and financial operations within the fast-paced financial technology sector.

Key Responsibilities

1. Data Operations:

Perform ad-hoc data cleaning and reporting tasks to support operational requirements (e.g., quarterly updates).

Update and maintain the internal entity database, including processing new listings, IPOs, and ad-hoc data requests.

2. Content Management and Research Support:

Syndicating research content from public sources such as exchange filings, broker reports, podcasts, articles.

Ensure the accuracy of machine-generated summaries for client communication.

3. Sales and Finance Support:

Assist in CRM tasks such as Hubspot deal creation, sales form completion, and tracking updates across sales cycles.

Review invoices and support financial operations like processing payments to data vendors.

4. Data Analysis and Reporting:

Analyse and process operational and research data to generate actionable insights.

Collaborate with teams to identify trends, optimize processes, and improve workflows.

Key Learning Opportunities

• Develop proficiency in data validation, and management techniques.
• Gain practical knowledge of CRM tools (e.g., Hubspot) and financial reporting systems.
• Learn to analyse and publish research content while enhancing attention to detail.
• Build foundational skills in financial and operational data handling.

Requirements

• Singapore Citizenship
• Graduated from a polytechnic or completed National Service within 2 years from the start date of hire.
• Able to commit to an employment period of 12 months.
• Able to start work in March 2025.
• Diploma in Finance, Business, Data Analytics, or a related field.
• Strong attention to detail and ability to manage repetitive tasks with accuracy.
• Proficiency in Microsoft Excel and Google Sheets; familiarity with CRM platforms like Hubspot is a plus.
• Strong analytical and problem-solving skills.
• Effective communication and collaboration abilities.
• Willingness to work flexible hours (early mornings may be required for specific tasks).

Why Join Us?

• Hands-on experience in a dynamic financial technology company.
• Comprehensive mentorship and skill development opportunities.
• Exposure to data analytics and operational tools used in the finance industry.
• Opportunity to contribute to impactful projects and build a strong career foundation.

Responsible for the overall requirements analysis, design, development, testing, implementation, and maintenance of Power BI dashboards and reports.

Responsibilities

• Designing enterprise-grade Power BI solutions and analytical data modeling.
• Managing and delivering Power BI projects within timelines.
• Developing Power BI standards, guidelines, and best practices.
• Working with data engineers, data scientists, and other stakeholders in the implementation of Power BI dashboards and reports.
• Leading and providing technical support for Power BI dashboards.
• Organizing and holding workshops and clinics to help HPB employees become more adept in Power BI.

Requirements

• Minimum years of experience in end-to-end Power BI dashboard solutions/data visualization design, adopting good practices that encourage efficient data usage, scalability, extensibility, and reusability.
• Relevant work experience in data integration, analytics, data extraction, transformation and load (ETL), basic exploratory data analytics (EDA), data cleaning, and/or feature engineering.
• Experience in data science is an added advantage.
• Strong skills in analytical data modeling and analysis concepts are an added advantage.
• Experience within healthcare industry
• Technically competent in Microsoft BI and DAX (Data Analysis Expressions) scripting.
• Proficient in SQL (Structured Query Language).
• The following experience and knowledge would be advantageous:
  1. Proficiency in Microsoft Azure.
  2. Experience with PySpark.

Responsibilities

• Designing enterprise-grade Power BI solutions and analytical data modeling.
• Managing and delivering Power BI projects within timelines.
• Developing Power BI standards, guidelines, and best practices.
• Working with data engineers, data scientists, and other stakeholders in the implementation of Power BI dashboards and reports.
• Leading and providing technical support for Power BI dashboards.
• Organizing and holding workshops and clinics to help HPB employees become more adept in Power BI.

Requirements

• Minimum years of experience in end-to-end Power BI dashboard solutions/data visualization design, adopting good practices that encourage efficient data usage, scalability, extensibility, and reusability.
• Relevant work experience in data integration, analytics, data extraction, transformation and load (ETL), basic exploratory data analytics (EDA), data cleaning, and/or feature engineering.
• Experience in data science is an added advantage.
• Strong skills in analytical data modeling and analysis concepts are an added advantage.
• Experience within healthcare industry
• Technically competent in Microsoft BI and DAX (Data Analysis Expressions) scripting.
• Proficient in SQL (Structured Query Language).
• The following experience and knowledge would be advantageous:
  1. Proficiency in Microsoft Azure.
  2. Experience with PySpark.

Company’s Profile:

Our client is an international technology and engineering company that specialises in providing innovative digital and security solutions to their esteemed clients. They are well-known for their dedication of quality delivery standards with more than 15,000 engineers globally supporting projects. They have an international presence in over 100 countries worldwide and are looking out for AI Engineers to join their team and contribute to their ongoing success.

Location: Ang Mo Kio/Yio Chu Kang area

Job Responsibilities:

• Work with internal & external stakeholders on data-related technical issues and support their data infrastructure needs
• Work closely with data scientists to solicit data requirements to support modeling works
• Design, develop, document, manage and maintain data models, ETL processes, data warehouse, data management and pipeline solutions for large volume of structured/unstructured data from disparate sources and with different latencies (e.g. on-demand, batch, real-time, near-real-time)
• Define, monitor and report SLAs for data pipelines and data products
• Understand data security and governance standards or requirements to implement solutions that ensure adherence to these standards or meet such requirements
• Drive/execute data quality assurance practices
• Support data management solutions pre-sales initiatives, proposal development and provide post-sales support

Requirements:

• At least 2 – 3 years’ work experience in data engineering field, experience with master data management, data governance, data lifecycle management
• Education qualification in Computer Science, Data Science, Machine Learning or relevant field
• Proficiency with relational/non-relational/NoSQL database and enterprise data warehouse/mart
• Experience with big data technologies e.g. Hadoop, Spark, Hive, HBase etc.

Interested candidates may whatsapp your resume to 6421 4965. Only shortlisted applicants will be contacted.

Cassie Chan | R2197426

Talentsis Pte Ltd | EA No: 20C0312

The primary objective of this role is to deliver comprehensive operational support for Data Platforms, ensuring their reliability, performance, and availability. The individual in this role will be responsible for managing and maintaining data platform infrastructure, monitoring system health, and addressing any technical issues to minimize downtime and optimize efficiency.

Responsibilities :

• Work closely with data product team and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Work closely with product vendors to design, deploy and integrate different data platforms with the organization’s ecosystem.
• Ensure that the deployed platforms follow the IT security and compliance policies.
• Establish processes and develop monitoring mechanisms to detect the availability of the platforms.
• Perform testing on the deployed data platforms.

Qualifications:

• Degree in Computer Science or equivalent.
• 5 years’ experience as a platform support engineer or a software / data engineer.
• Working experience of application implementation to implement new platforms.
• Familiar with application integration using RDBMS.
• Hands-on experience of using Linux (or Unix-like OS) as the development environment, and familiar with Shell scripts and command line tools.
• Knowledge of data integration and data visualization platforms such as Informatica / Tableau / Power BI.
• Good team player, with strong analytical skill and enjoy complex problem solving with innovative ideas.
• Good communication/people skills and able to interact with data analysts, business end-users and vendors to design and develop solutions.

Advantageous experience includes:

• Java, Python
• Snowflake, Oracle, MS SQL, Denodo
• AWS services
• Agile methodologies like Scrum and Kanban.
• Good understanding and able to apply good industry practice of code versioning, testing, CICD workflow, and code documentation.

We regret to inform that only shortlisted candidates will be notified / contacted.

Job Reference: Alfa Agahari JN -122024-47076

EA Registration No.: R22110376, Blassius Alfa Putra Agahari

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544

Responsibilities:

• Able to provide good understanding of architecture design of the project and be part of the development team to execute it properly.
• To be collaborating with Architect to build and maintain integrations for multiple on premises and/or cloud systems and must be capable of understanding business requirements, working with end users and developing and deploying the integrations.
• Able to provide technical expertise in large, complex environments and must have a track record of successful and reference-able customer projects. This position requires knowledge and experience with J2EE, MuleSoft product suite as well as experience in detailed requirements analysis, software design, development, testing, and deployment.
• Will work with the Engagement Manager, customers, architects and partners to implement MuleSoft's AnyPoint platform in order to solve mission-critical business challenges.
• Identify, analyze and develop interfaces and integration flows using Mule ESB Any platform including Mule Runtime, Connectors, Design Center and API Management.
• Seeks and engages in continued learning of Agile practices and principles, ensuring that development technologies and best practices methodologies are adopted and applied by all team members.
• Design and implement data architecture strategies to support S4 HANA migration and MuleSoft integration projects.
• Provide oversight and governance for large-scale data projects, ensuring alignment with business objectives and technical requirements.
• Collaborate with the PMO to manage project timelines, resources, and deliverables effectively.
• Review and validate data models, workflows, and integration frameworks for large enterprise projects.

Profile

• Bachelor’s Degree or equivalent experience required
• 6+ years of Working knowledge of MuleSoft SaaS technology, and business integrations and maintenance within complex international organizations (RQUIRED)
• Mulesoft architect with PMO or Program Manager capabilities is a MUST.
• Background in software development and familiarity with End of End Development.
• Experienced in Back End Technology such as Node JS, Java API Architecture.
• Deep understanding of Synchronous / Asynchronous communication patterns and problem-solving abilities with respect to message sequencing, correlation, and queuing.
• Experienced in Mule administration, Configuration and tuning.
• Lead the data migration process from legacy systems (e.g., TIBCO/Talend) to MuleSoft, ensuring data quality, integrity, and security.
• Demonstrate an understanding of software patterns, software modelling, secure programming principles, test-driven development or another unit testing methodology, and code standards compliance.
• Adept at producing fully responsive applications within a multitude of environments using modern, up-to-date techniques whilst still being able to support legacy systems and platforms.
• Working knowledge of MuleSoft, SaaS technology, and SaaS business integrations and maintenance within complex international organizations. (REQUIRED)
• Knowledge in on-Premise Platform integration (e.g. Informatica, Talend , TIBCO)

Good to Have:

• MuleSoft Certified Developer – Level 1 (Mule 4)
• MuleSoft Certified Developer – Integration and API Associate (Mule 3)
• MuleSoft Certified Platform Architect – Level 1
• MuleSoft Certified Developer – Level 1 (Mule 4) DELTA
• MuleSoft Certified Developer- API Design Associate (RAML 1.0)

About Us:

We are the largest global sales and marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

Your role :

- Create brand awareness to customers

- Drive marketing campaigns via face to face interactions

Rewards :

- Travel opportunities - regional and international

- 1 to 1 Coaching Provided

- Great exposure that improves people

- Positive and friendly team environment

- Uncapped Earnings

- Weekly payout

Find out more with us!

ARE YOU LOOKING FOR A ROLE THAT REWARDS YOU?

Our Company

We are part of a regional outsource events & marketing company, currently located in certain parts of South Asia. Where we work closely with clients to provide marketing solutions, increases market shares and creating brand awareness.

Our Environment

Here we will provide you a place that fosters innovation, fun and excellence.

You get the freedom to be around people with good vibes, have the time for development and traveling with the company.

Recruiting

We are looking out for potential candidate to join us as Events Sales Representative in our expansion plans.

As long as you are:

• FUN

We are looking for a Data Control engineer with experience in Data management, Good knowledge in writing queries to extract the data, automate the report generation through reporting tools .

Requirements:

1.Understand the data requirements from various departments

2.Extract data from database by writing queries and share the reports with the stakeholders

3.Automate the frequently used data reports using the Reporting tool and provision the secured access to stake holder on the reports

4.Manage Database backup and restore

5.Ensure data security

6.Capacity planning and Database finetuning from time to time to increase DB performance

Roles:

• To perform daily backup monitoring and take action to have recovery solution in place.
• To Manage the database availability and performance, including incident and problem management.
• To work with Major Incident Management (MIM) team to resolve and co-ordinate high critical issues.
• To carry out periodical production patch and upgrade management.
• To work closely with users and vendors to take timely and appropriate steps to resolve and troubleshoot issues impacting service levels.
• To Identify opportunities for process improvements, automation, and efficiency gains in database operations.
• To Implement best practices and innovative solutions to enhance system reliability and performance.

Preferred Qualifications:

• Diploma/Degree in Computer Science or Engineering equivalent.
• At least 2-4 years of relevant working experience as a Database Administrator or relavant engineering experience within similar capacity operations.
• Must have familiarity with at least 2 database SAP tools,SQL, ...
• Experience in 24x7 support for critical production systems, scheduled maintenance, and release deployment activities.
• Excellent problem solving skills.
• Good Software application experience.

• Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data.
• Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data.
• Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch.
• Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions.
• Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques.
• Optimize data engineering workflows for containerized deployment and efficient resource utilization.
• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability.
• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements.

• Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Ranger, etc)

• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes.
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java.
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
• Experience with Grafana, Prometheus, Splunk will be an added benefit

Job Description

• Work with stakeholders including customers, partners and colleagues on data-related technical issues and support their data infrastructure needs
• Work closely with data scientists to solicit data requirements to support modeling works
• Design, develop, document, manage and maintain data models, ETL processes, data warehouse, data management and pipeline solutions for large volume of structured/unstructured data from disparate sources and with different latencies (e.g. on-demand, batch, real-time, near-real-time)
• Define, monitor and report SLAs for data pipelines and data products
• Understand data security and governance standards or requirements to implement solutions that ensure adherence to these standards or meet such requirements
• Drive/execute data quality assurance practices
• Support data management solutions pre-sales initiatives, proposal development and provide post-sales support.

Technical Knowledge/Skills/Competencies

• Technical expertise in:
  • Relational/non-relational/NoSQL database and enterprise data warehouse/mart;
  • Big data technologies e.g. Hadoop, Spark, Hive, HBase etc.
  • Data ingestion technologies e.g. Flume, Kafka, NiFi etc. and
  • Scripting, programming and software development using e.g. Java, C/C++, Python, R, MATLAB, Scala, SQL etc. for Windows or Linux environments.
• Experience in master data management, data governance, data lifecycle management etc
• Experience in designing, documenting, implementing and supporting data management solutions
• Experience in using software engineering best practices in development, programming, testing, version control etc.
• Knowledge of data privacy and security assurance
• Knowledge of machine learning, computer vision and large languagemodels will be advantageous.

Soft Skills

• Excellent written and verbal communications skills
• Highly organised, motivated, independent and resourceful team player
• Strong analytical thinking, interpersonal and problem-solving skills and
• Able to work productively in a matrix reporting and fast-paced environment

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [email protected] for immediate processing.

(EA Reg No: 20C0312)

Responsibilities and Requirements :

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.
• Minimum 7 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.
• Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.
• Evaluate potential technical solutions and make recommendations to resolve data issues, especially on performance assessment for complex data transformations and long-running data processes.
• Strong knowledge of SQL and NoSQL databases.
• Familiarity with data modelling and schema design.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• AWS certifications (e.g., AWS Certified Data Analytics - Speciality, AWS Certified Data Analytics - Speciality), Databricks certifications, and Informatica certifications are a plus